Summary

The Housing Affordability Data System (HADS), 2002, is a housing-unit level dataset that measures the affordability of housing units and the housing cost burdens of households, relative to area median incomes, poverty level incomes, and Fair Market Rents. The dataset contains selected variables from the AMERICAN HOUSING SURVEY, 2002: METROPOLITAN MICRODATA (ICPSR 4589), as well as custom, derived variables measuring monthly housing costs, housing cost burdens, assisted housing, and total salary income. Housing-level variables include information on the number of rooms in the housing unit, the year the unit was built, whether it was occupied or vacant, whether the unit was rented or owned, whether it was a single family or multi-unit structure, the number of units in the building, the current market value of the unit, and measures of relative housing costs. The dataset also includes variables describing the number of people living in the household, household income, and the type of residential area (e.g., urban or suburban).

Citation

Vandenbroucke, David A. Housing Affordability Data System (HADS), 2002. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2009-07-10. https://doi.org/10.3886/ICPSR25203.v1

Time Period(s)

2002

Date of Collection

2002

Data Collection Notes

ICPSR created a unique sequential record identifier variable named CASEID for use with online analysis.

This 2002 HADS dataset is based on the 2002 American Housing Survey (AHS) public use files, but only includes selected AHS variables. Users can make use of all the AHS variables by linking the HADS files to the standard AHS public use files. Since the AHS is a longitudinal survey, successive HADS files can be linked in order to examine changes in housing affordability over time, at the housing unit level. For more information on linking files, please refer to the codebook documentation.

The formats of the weight variable and variables measuring percentage of cost and income were adjusted in order to accommodate the values present in these variables. The variable SMSA was converted from character to numeric.

The data available for download are not weighted and users will need to weight the data prior to analysis.

Variable names containing more than 16 characters were truncated in order to be compatible with current statistical programs. Therefore, variable names may differ slightly from those listed in the original documentation.

Data Type(s)

Original Release Date

2009-07-10

Version Date

2009-07-10

Version History

2009-07-10 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: